Implementation of a virtual velocity sensor for a DC motor through artificial neural networks in a FPGA system

Ruben A. Zapatan, Pablo M. Lucero, Eduardo E. Armijos, Jonathan Coronel, Diego R. Cabrera

Resultado de la investigación: Contribución a una conferenciaDocumento

Resumen

© 2015 IEEE. In this paper the implementation of a virtual sensor is presented, using an artificial neural network (ANN) in an FPGA system, which will serve to estimate the speed of a DC motor. The acquisition and processing of signals RNA training and detailed architecture implemented in the FPGA is shown. Finally the behavior of the virtual sensor is analyzed in normal and abnormal operating conditions.
Idioma originalInglés estadounidense
Páginas931-935
Número de páginas5
DOI
EstadoPublicada - 4 feb. 2016
Evento2015 IEEE Chilean Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2015 - Santiago, Chile
Duración: 28 oct. 201530 oct. 2015

Conferencia

Conferencia2015 IEEE Chilean Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2015
Título abreviadoCHILECON 2015
País/TerritorioChile
CiudadSantiago
Período28/10/1530/10/15

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